Senior Data Engineer I

LexisNexis Risk Solutions
Chennai
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5-7 yearsEducation: bachelorsSkills: ["Analytical","Research","Communication","Collaboration"]

Design and deliver production-ready data and software solutions in a platform-enabled environment, translating business needs into scalable, reusable data capabilities. Build data products for reuse across teams, collaborating with domain teams and platform services to align with shared governance and delivery standards. Develop production data pipelines and ETL processes using Python and PySpark, implement data models, and help improve standardized engineering practices while troubleshooting complex production issues.

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LexisNexis Risk Solutions
LexisNexis Risk Solutions
1 month ago

Senior Data Engineer I

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 days agoStatus: Live

Job Summary

Design and deliver production-ready data and software solutions in a platform-enabled environment, translating business needs into scalable, reusable data capabilities. Build data products for reuse across teams, collaborating with domain teams and platform services to align with shared governance and delivery standards. Develop production data pipelines and ETL processes using Python and PySpark, implement data models, and help improve standardized engineering practices while troubleshooting complex production issues.
Location: Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, test, and deploy production-ready applications and data pipelines using Python, PySpark, and related technologies.
  • •Build and maintain scalable, reusable data solutions aligned to shared platform patterns.
  • •Collaborate with cross-functional teams to translate business requirements into robust, scalable technical designs.
  • •Design and implement data models, transformation pipelines, and ETL processes with integrity, performance, and scalability in mind.
  • •Contribute to standardized engineering practices (CI/CD, code reviews, automated testing) and resolve complex production issues.

Key Requirements

  • •Bachelor’s degree in Computer Science, Software Engineering, or a related analytical field, or equivalent practical experience.
  • •5–7 years of professional software engineering experience with strong hands-on coding.
  • •Advanced proficiency in Python, PySpark, and ETL development, including data manipulation and optimization.
  • •Working knowledge of AWS, Airflow, Snowflake, Iceberg, SQL, Linux, Docker, GitHub, Terraform, and Excel.
  • •Strong understanding of data modeling concepts (normalized and dimensional models) and multiple data storage systems.
Experience:5-7 years
Education:Bachelor's in Computer Science, Software Engineering, or related analytical field
Skills:AnalyticalResearchCommunicationCollaboration
Tech Stack:PythonPySparkETLAWSAirflowSnowflakeIcebergSQLLinuxDockerGitHubTerraformExcelCI/CDAgileWaterfallTDD

Company Brief

LexisNexis Risk Solutions
Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.
Industry: RegTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Public Company
Headquarters: Alpharetta, United States
WebsiteLinkedIn